AI RESEARCH
Facet-Level Tracing of Evidence Uncertainty and Hallucination in RAG
arXiv CS.CL
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ArXi:2604.09174v1 Announce Type: new Retrieval-Augmented Generation (RAG) aims to reduce hallucination by grounding answers in retrieved evidence, yet hallucinated answers remain common even when relevant documents are available. Existing evaluations focus on answer-level or passage-level accuracy, offering limited insight into how evidence is used during generation. In this work, we